𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Modelling the effect of particle size and iron content on forming of Al–Fe composite preforms using neural network

✍ Scribed by N. Selvakumar; P. Ganesan; P. Radha; R. Narayanasamy; K.S. Pandey

Book ID
108200649
Publisher
Elsevier Science
Year
2007
Weight
356 KB
Volume
28
Category
Article
ISSN
0261-3069

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Analysis of the effect of reinforcement
Analysis of the effect of reinforcement particles on the compressibility of Al–SiC composite powders using a neural network model
✍ H.R. Hafizpour; M. Sanjari; A. Simchi 📂 Article 📅 2009 🏛 Elsevier Science ⚖ 727 KB

A neural network (ANN) model was developed to predict the densification of composite powders in a rigid die under uniaxial compaction. Al-SiC powder mixtures with various reinforcement volume fractions (0-30%) and particle sizes (50 nm to 40 lm) were prepared and their compressibility was studied in